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Hierarchical Feature Learning for Medical Point Clouds via State Space Model
Guoqing Zhang, Jingyun Yang, Yang Li
Deep learning-based point cloud modeling has been widely investigated as an indispensable component of general shape analysis. Recently, transformer and state space model (SSM) hav…
A Geometric Algorithm for Blood Vessel Reconstruction from Skeletal Representation
Guoqing Zhang, Yang Li
We introduce a novel approach for the reconstruction of tubular shapes from skeletal representations. Our method processes all skeletal points as a whole, eliminating the need for…
High-Fidelity Medical Shape Generation via Skeletal Latent Diffusion
Guoqing Zhang, Jingyun Yang, Siqi Chen +2
Anatomy shape modeling is a fundamental problem in medical data analysis. However, the geometric complexity and topological variability of anatomical structures pose significant ch…
Learning What is Worth Learning: Active and Sequential Domain Adaptation for Multi-modal Gross Tumor Volume Segmentation
Jingyun Yang, Guoqing Zhang, Jingge Wang +1
Accurate gross tumor volume segmentation on multi-modal medical data is critical for radiotherapy planning in nasopharyngeal carcinoma and glioblastoma. Recent advances in deep neu…
Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel
Siqi Chen, Guoqing Zhang, Jiahao Lai +5
Advancements in 3D vision have increased the impact of blood vessel modeling on medical applications. However, accurately representing the complex geometry and topology of blood ve…
Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation
Shutong Duan, Jingyun Yang, Yang Tan +3
How to mitigate negative transfer in transfer learning is a long-standing and challenging issue, especially in the application of medical image segmentation. Existing methods for r…